Order History
Premium Membership & Rewards
Help Center / FAQ
Flexible Regression and Smoothing: Using GAMLSS in R
eBook
$70.99
By Mikis D. Stasinopoulos, Robert A. Rigby, Gillian Z. Heller, Vlasios Voudouris, Fernanda De Bastiani
Collect stamps to save with Rewards. 10 stamps = $5. Learn More
Select a store to view item availability.
Available on compatible , the free NOOK App, and in My Digital Library
NOOK App
Download NOOK app
NOOK Devices
NOOK eReaders
- NOOK GlowLight 4 Plus
- NOOK GlowLight 4e
- NOOK GlowLight 4
- NOOK GlowLight Plus 7.8"
- NOOK GlowLight 3
- NOOK GlowLight Plus 6"
NOOK Tablets
- NOOK 9" Lenovo Tablet
- NOOK 10" HD Lenovo Tablet
- NOOK Tablet 7" & 10.1"
- NOOK by Samsung Galaxy Tab 7.0 [Tab A and Tab 4]
- NOOK by Samsung [Tab 4 10.1, S2 & E]
Free NOOK Reading Apps
- NOOK for iOS
- NOOK for Android
BN.com website
Go to your Digital Library in My Account
Limit 1 per customer
This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent.
In particular, the GAMLSS statistical framework enables flexible regression and smoothing models to be fitted to the data. The GAMLSS model assumes that the response variable has any parametric (continuous, discrete ...